darknet/cfg/yolo-voc.cfg

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[net]
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batch=64
subdivisions=8
height=416
width=416
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channels=3
momentum=0.9
decay=0.0005
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angle=0
saturation = 1.5
exposure = 1.5
hue=.1
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learning_rate=0.0001
max_batches = 45000
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policy=steps
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steps=100,25000,35000
scales=10,.1,.1
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[convolutional]
batch_normalize=1
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filters=32
size=3
stride=1
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pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
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filters=64
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size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
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filters=64
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size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
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filters=128
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size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
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size=3
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stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
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filters=128
size=1
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stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
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size=3
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stride=1
pad=1
activation=leaky
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[maxpool]
size=2
stride=2
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[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
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[maxpool]
size=2
stride=2
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[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
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#######
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
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[route]
layers=-9
[reorg]
stride=2
[route]
layers=-1,-3
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[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
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[convolutional]
size=1
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stride=1
pad=1
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filters=125
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activation=linear
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[region]
anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52
bias_match=1
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classes=20
coords=4
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num=5
softmax=1
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jitter=.2
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rescore=1
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object_scale=5
noobject_scale=1
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class_scale=1
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coord_scale=1
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absolute=1
thresh = .6
random=0